Large-eddy simulations of compressible Rayleigh-Taylor turbulence with miscible fluids using spatial gradient model

Luo, Tengfei1,2,3; Wang, Yunpeng1,2,3; Yuan, Zelong1,2,3; Jiang, Zhou1,4; Huang, Wenfeng2,5; Wang, Jianchun1,2,3

2023-10-01

10.1063/5.0159507

PHYSICS OF FLUIDS   影响因子和分区

1070-6631

1089-7666

Large-eddy simulations (LES) and implicit LES (ILES) of three-dimensional compressible Rayleigh-Taylor turbulence with miscible fluids are performed and compared with direct numerical simulation (DNS) at the Atwood number A(t) = 0.5 and stratification parameters Sr = 1.0 and 4.0. Three sub-grid-scale (SGS) models including constant-coefficient spatial gradient model (CSGM), dynamic Smagorinsky model (DSM), and dynamic mixed model (DMM) are considered. The CSGM model achieves a high accuracy by using the velocity gradients at the neighboring LES grids. The a priori tests show that the CSGM model has significantly higher correlation coefficients and lower relative errors than traditional SGS models. In the a posteriori tests, the probability density functions of SGS terms predicted by the CSGM model are consistent with the filtered DNS results. The CSGM model can accurately predict the small bubble and spike structures, resulting in good predictions of mixing heights and concentration fields. The instantaneous structures, spectra, and statistics of velocity and vorticity fields are also examined, showing the excellent performance of the CSGM model compared to the ILES, DSM, and DMM models. Moreover, the predictions of the temperature and pressure fields by the CSGM model are significantly better than the traditional SGS models and ILES.

SCI ; EI

英语

第一 ; 通讯

This work was supported by the National Natural Science Foundation of China (NSFC Grant Nos. 91952104, 92052301, 12172161, 12161141017, and 91752201), by the Shenzhen Science and Technology Program (Grants No. KQTD20180411143441009), by Key Special Project["91952104","92052301","12172161","12161141017","91752201"] ; National Natural Science Foundation of China[KQTD20180411143441009] ; Shenzhen Science and Technology Program[GML2019ZD0103] ; Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)["2019B121203001","2020B1212030001"]

Mechanics ; Physics

Mechanics ; Physics, Fluids & Plasmas

WOS:001099090800013

AIP Publishing

20234314975538

Forecasting ; Probability density function ; Turbulence ; Vorticity

Fluid Flow:631 ; Fluid Flow, General:631.1 ; Mathematics:921 ; Probability Theory:922.1

PHYSICS

Web of Science

1.Southern Univ Sci & Technol, Dept Mech & Aerosp Engn, Shenzhen 518055, Peoples R China
2.Southern Univ Sci & Technol, Guangdong Hong Kong Macao Joint Lab Data Driven Fl, Hong Kong 518055, Guangdong, Peoples R China
3.Southern Univ Sci & Technol, Dept Mech & Aerosp Engn, Guangdong Prov Key Lab Turbulence Res & Applicat, Shenzhen 518055, Peoples R China
4.Chongqing Univ, Coll Aerosp Engn, 174 Shazheng St, Chongqing 400044, Peoples R China
5.State Key Lab Aerodynam, Mianyang 621000, Peoples R China

Luo, Tengfei,Wang, Yunpeng,Yuan, Zelong,et al. Large-eddy simulations of compressible Rayleigh-Taylor turbulence with miscible fluids using spatial gradient model[J]. PHYSICS OF FLUIDS,2023,35(10).

Luo, Tengfei,Wang, Yunpeng,Yuan, Zelong,Jiang, Zhou,Huang, Wenfeng,&Wang, Jianchun.(2023).Large-eddy simulations of compressible Rayleigh-Taylor turbulence with miscible fluids using spatial gradient model.PHYSICS OF FLUIDS,35(10).

Luo, Tengfei,et al."Large-eddy simulations of compressible Rayleigh-Taylor turbulence with miscible fluids using spatial gradient model".PHYSICS OF FLUIDS 35.10(2023).